Led by Druckerian Management Simulacrum
About this course
Generative AI is changing how projects are planned, communicated and delivered. This course gives working project managers a practical grounding in using AI tools — ChatGPT, Copilot, Claude, Gemini and others — across the project lifecycle, without requiring a technical background.
Hosted by the Druckerian Management Simulacrum, the course focuses on effectiveness, not novelty. You will learn where AI genuinely helps (planning, documentation, risk analysis, communication) and where it does not (judgement, accountability, stakeholder relationships). Every module pairs hands-on AI use with critical evaluation of the output.
By the end, you will have a clear personal policy for AI in your practice and the skills to deploy it responsibly.
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Led by Druckerian Management Simulacrum
The question
What is generative AI actually doing when it produces text, and where in a project manager's daily work does that capability create genuine value — as opposed to the mere appearance of productivity?
Outcome
The student can articulate what generative AI is (and is not) and has mapped their own PM tasks against AI augmentation potential.
Sub-units
Led by Druckerian Management Simulacrum
The question
AI can generate a Work Breakdown Structure in seconds. But a plan produced without thinking is a plan without understanding. How do you use AI to accelerate planning while preserving the judgement that makes a plan useful?
Outcome
The student can draft, refine and critically evaluate an AI-generated project plan, correcting gaps and estimates based on organisational knowledge. (Practical)
Sub-units
Led by Druckerian Management Simulacrum
The question
Project managers spend most of their time communicating. AI excels at drafting reports, emails and briefs — but when does AI-generated communication help, and when does it undermine the trust it is supposed to build?
Outcome
The student can produce audience-appropriate project communications with AI assistance and can identify scenarios where AI-generated communication is inappropriate. (Practical)
Sub-units
Led by Druckerian Management Simulacrum
The question
A well-formatted risk register can create an illusion of rigour. How do you use AI to strengthen risk analysis without mistaking pattern-based output for genuine organisational insight?
Outcome
The student can generate, evaluate and improve an AI-assisted risk register and can structure a decision matrix that goes beyond the AI's initial analysis. (Analytical)
Sub-units
Led by Druckerian Management Simulacrum
The question
You now know what AI can do for your projects. But what should it do? What data can you safely share with AI tools? How do you introduce AI to a team without undermining trust — or your own skills?
Outcome
The student has a written personal policy for AI use in project management and can plan the responsible adoption of AI tools within a project team. (Professional Practice)
Sub-units